Playing with perf today! It's really interesting to see low-level details of where compute time is going. Branch prediction works well most of the time! (At least for this workload.)
Based on https://jvns.ca/blog/2014/05/13/profiling-with-perf/ and
miniblog.
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LLMs are surprisingly good at reducing crash samples.
I've had success with "this project crashes my static analysis tool with the following command, try to shrink the repro whilst preserving the crash. Commit each smaller version to a branch".
Test code is total: we require it to always terminate or it's a failure! It also typically has 100% line and branch coverage.
I feel way less nervous about refactoring tests, you can always just run them.
I'm writing an experimental PL and I want to exercise it on real programs asap. These need to be useful (so I actually try them), but simple (my PL is unfinished).
My current ideas:
* A git fuzzy branch switcher (shell commands)
* dotfiles sync (filesystem access)
Suggestions?
